What the Data for This Category Looks Like
Shipping and port industry research reports mainly come from securities firms’ transportation research teams, port administration public statistical reports, international shipping association industry briefings, and market analysis documents from leading shipping brokerage firms. Monthly operational data such as port throughput and berth utilization is updated monthly. High-frequency data such as container freight rates and route schedules is updated weekly. Special research reports are released irregularly alongside industry developments. Document structures include modules such as core data tables, policy interpretations, supply and demand analysis, and future outlook. Fields include TEU (twenty-foot equivalent unit), 10,000-ton-class berth count, route coverage areas. Freight rate units are mostly USD/FEU (forty-foot equivalent unit).
Constraints for Multi-turn Dialogue and Prompt Engineering
The multi-dimensional update rhythm of shipping and port research reports requires clearly distinguishing data of different time granularities in multi-turn conversations. Prompts must explicitly specify the query time range to avoid confusing monthly operational data with weekly freight rate data. The specificity of professional fields and units requires prompts to retain standard identifiers such as TEU and FEU, and not arbitrarily convert expressions. The mixed structure of structured tables and unstructured analysis in documents requires multi-turn conversations to retain previously mentioned port names and data indicators in context, ensuring that follow-up questions can associate corresponding content. High-frequency updated real-time data and static research report content must be distinguished by call source in conversations to avoid returning outdated information.
Configuration Settings
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Shipping and port research reports contain multiple sets of structured data and long-text analysis, requiring retention of key context such as port names, time ranges, and data indicators in multi-turn conversations |
recallTopK | Top 8–12 results | Research report data is scattered across multiple document fragments, requiring recall of a sufficient number of relevant fragments to cover different data dimensions and avoid missing core information |
relevanceThreshold | 0.72–0.78 | Port research reports contain many professional terms, requiring a balance between recall relevance and coverage to avoid filtering out valid fragments containing structured tables due to overly high thresholds |
rerankTopK | Top 4–6 results | Structured data and analysis content require precise ranking, prioritizing return of core data indicators and industry conclusions to improve the practicality of conversation content |
chunkSize | 1200–1500 characters | Tables and long paragraphs in research reports require reasonable segmentation to avoid disrupting data association when splitting, ensuring that parsed fragments have complete semantics |
systemPrompt | Set based on actual testing | Customized prompts must be developed for shipping and port professional terminology, explicitly requiring retention of standard units, field names, and image links when returning results |
The parameter values provided on this page are conventional recommendations used to determine configuration starting points. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Issue: A
connection errorprompt appears after submitting content with a Qianwen model, and the problem persists after enabling a proxy. Cause: ThePROXY_URLparameter is not configured correctly, or the parameter format does not meet system requirements, preventing normal connection establishment for model requests. - Issue: Custom conversation icons do not take effect, and the default icon is still displayed. Cause: The required icon file was not uploaded in the non-login configuration module, or the uploaded icon format does not meet the
PNG/JPGformat and size restrictions. - Issue: The knowledge base returns research reports containing images, but the large model only returns text descriptions and does not display image links. Cause: The
systemPromptdoes not explicitly require extraction and return of original image links, or the knowledge base's image parsing function is not enabled.
How to Confirm Proper Configuration
- Initiate a first-round query containing a specific port name and monthly throughput data, and verify whether the returned results are associated with core content from the corresponding research report.
- Initiate multi-turn follow-up questions, such as first asking about the container throughput of a certain port, then asking about year-over-year changes, to verify whether the system can retain the previous round's port name and data dimension.
- Upload a test research report containing tables and images, check whether the parsed fragments retain the table structure, and whether image links are returned after the prompt is triggered.
- Call the configured model, check that the request logs output in the console do not contain
connection errorrelated errors, confirming normal network routing.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.